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The US Digital Patient Enablement Lead (Product Owner) will manage TaKeda's Loyalty CRM Technology, driving innovation and continuous improvements within the CRM platforms. Responsibilities include overseeing operations, partnering with stakeholders to align technology solutions with business strategies, managing a global backlog for product enhancements, and ensuring the reliability and security of the platforms.

The Head of Enterprise Data Platform and Services at Takeda oversees the transformation and optimization of data operations, leading teams in the development of AI-powered data platform initiatives, improving analytics capabilities, and ensuring data reliability and security.

The Executive Assistant provides administrative support to the Chief Global Corporate Affairs & Sustainability Officer. Responsibilities include managing the executive's calendar, arranging meetings and travel, maintaining budgets, preparing documentation, and communicating with internal and external stakeholders. The role requires strong organizational skills and a proactive approach to improve processes and solve problems.

The Senior Data Scientist will lead complex analyses using machine learning and data science techniques to derive insights from structured and unstructured data. Responsibilities include mentoring other data personnel, applying advanced analysis methods, and delivering insights to support Takeda's objectives in healthcare, vaccines, and R&D.

The Digital Patient Services Enablement Lead oversees the development and delivery of global patient services by acting as the main point of accountability for OBU product managers. Responsibilities include solution design, roadmap contribution, and ensuring the effective adoption of enterprise patient service platforms. The lead collaborates with internal and external partners to enhance product quality and aligns services with business needs for optimal outcomes.

As a Salesforce Developer at Takeda, you will transform design and product vision into a functional product by customizing and enhancing Salesforce functionalities. You will collaborate with agile teams, maintain digital products, and utilize various development technologies to improve customer and employee experiences.

The Senior AI/ML Engineer will advise on data science activities, lead Gen AI use cases, design and implement MLOps pipelines, and automate ML tasks. Responsibilities include model development, data quality monitoring, and project management in collaboration with various stakeholders.